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xgboost
dmlc/xgboost
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
★28.6kstars
C++
Apache-2.0
Updated: Today
📋 Project at a Glance
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What's this?A , built with C++ open-source project in the Data & Infrastructure category, core strengths: distributed-systems/gbdt
Who made it?Maintained by dmlc team, 28.6K⭐ on GitHub, #60 out of 3133 in Data & Infrastructure
Why does it exist?With the growing demand for distributed-systems and gbdt in Data & Infrastructure, dmlc created xgboost as a streamlined solution.
What can it do?Key use cases: gbm, gbrt, machine-learning
How to install with AI?Use an AI coding assistant to follow the README and automatically handle the install and environment setup.
🔗 github.com/dmlc/xgboost | 官网 https://xgboost.readthedocs.io/
🔗 github.com/dmlc/xgboost | 官网 https://xgboost.readthedocs.io/
Topics
distributed-systemsgbdtgbmgbrtmachine-learningxgboost